Open AccessImproved DE Algorithm for Power System Stabilizer for Damping Low Frequency Osci llations
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1091.1292s219
Subject(s) - control theory (sociology) , electric power system , stabilizer (aeronautics) , stability (learning theory) , signal (programming language) , convergence (economics) , power (physics) , low frequency oscillation , operator (biology) , computer science , engineering , physics , mechanical engineering , biochemistry , chemistry , control (management) , repressor , quantum mechanics , artificial intelligence , machine learning , transcription factor , economics , gene , programming language , economic growth
In the large interconnected power system, maintaining the Small signal stability of the system is of more concern, for the stable, secure and reliable operation. This paper proposes an Improved Differential Evolution (DE) Algorithm based Optimal Power system stabilizer (PSS) for damping the low frequency oscillations. Enhancing the damping of system is formulated as the optimization problem. DE/Best Mutation Operator is adopted for producing the mutation vector, to augment the convergence rate of DE algorithm. The effectiveness of the proposed approach has been tested in Single Machine Infinite Bus (SMIB) system under different operating conditions. The time response evaluations has justified the superiority of the proposed approach for damping the oscillations and thereby improving the Small signal stability of the system.